arXiv · 0905.0797
Fitting the Constitution SNIa Data with Redshift Binned Parameterization Method
Abstract
In this work, we explore the cosmological consequences of the recently released Constitution sample of 397 Type Ia supernovae (SNIa). By revisiting the Chevallier-Polarski-Linder (CPL) parameterization, we find that, for fitting the Constitution set alone, the behavior of dark energy (DE) significantly deviate from the cosmological constant $Λ$, where the equation of state (EOS) $w$ and the energy density $ρ_Λ$ of DE will rapidly decrease along with the increase of redshift $z$. Inspired by this clue, we separate the redshifts into different bins, and discuss the models of a constant $w$ or a constant $ρ_Λ$ in each bin, respectively. It is found that for fitting the Constitution set alone, $w$ and $ρ_Λ$ will also rapidly decrease along with the increase of $z$, which is consistent with the result of CPL model. Moreover, a step function model in which $ρ_Λ$ rapidly decreases at redshift $z\sim0.331$ presents a significant improvement ($Δχ^{2}=-4.361$) over the CPL parameterization, and performs better than other DE models. We also plot the error bars of DE density of this model, and find that this model deviates from the cosmological constant $Λ$ at 68.3% confidence level (CL); this may arise from some biasing systematic errors in the handling of SNIa data, or more interestingly from the nature of DE itself. In addition, for models with same number of redshift bins, a piecewise constant $ρ_Λ$ model always performs better than a piecewise constant $w$ model; this shows the advantage of using $ρ_Λ$, instead of $w$, to probe the variation of DE.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Qing-Guo Huang, Miao Li, Xiao-Dong Li, Shuang Wang. 2009-10-03. Fitting the Constitution SNIa Data with Redshift Binned Parameterization Method. https://doi.org/10.1103/physrevd.80.083515
Cite the original work for its findings. Save a collection to share your selection of sources.